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Tag: neural network

DiceRoll Data Collection for betdice rolling game on EOS Blockchain

I have strange interests and inquisitiveness. After seeing so many gambling games on various blockchains e.g. magicdice on Steem, Tronbet on Tron, BetDice...

AlphaStar: Mastering the Real-Time Strategy Game StarCraft II

AlphaStar and other complex problems While StarCraft is just a game, albeit a complex one, we think that the techniques behind AlphaStar could be...

Xilinx Brings Hot Stuff to Hot Chips

Visit the upcoming Hot Chips 2018 industry conference in Silicon Valley, and you’ll see how dominant Xilinx is becoming in the market...

Life imitating art: the quest for a universal translator

Despite technology’s stubbornness in not giving us hoverboards, time travelling DeLoreans or pizza hydrators, there has been a lot that real life has...

Preserving Outputs Precisely while Adaptively Rescaling Targets

Multi-task learning - allowing a single agent to learn how to solve many different tasks - is a longstanding objective for artificial intelligence...

DeepMind papers at ICML 2018

Efficient Neural Audio SynthesisAuthors: Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Nouri, Norman Casagrande, Edward Lockhart, Sander Dieleman, Aaron van den Oord, Koray...

Prefrontal cortex as a meta-reinforcement learning system

In fact, we found that the meta-RL agent could learn to quickly adapt in a wide domain of tasks with different rules and...

DeepMind papers at ICLR 2018

Maximum a posteriori policy optimisationAuthors: Abbas Abdolmaleki, Jost Tobias Springenberg, Nicolas Heess, Yuval Tassa, Remi MunosWe introduce a new algorithm for reinforcement learning...

Learning to navigate in cities without a map

Learning navigation without building maps We depart from the traditional approaches which rely on explicit mapping and exploration (like a cartographer who tries to...

DeepMind papers at NIPS 2017

A simple neural network module for relational reasoning Authors: Adam Santoro, David Raposo, David Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, Timothy Lillicrap “We demonstrate...

Population based training of neural networks

Neural networks have shown great success in everything from playing Go and Atari games to image recognition and language translation. But often overlooked...

AlphaGo Zero: Starting from scratch

It is able to do this by using a novel form of reinforcement learning, in which AlphaGo Zero becomes its own teacher. The...

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